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This work proposes a novel method based on a prediction error minimization (PEM) algorithm to identify the discrete state-space model of a LCL filter which is used as interface between a Voltage Source Converter and the utility grid. This model is used to design directly a discrete state-space current control based on a servo controller. The so-obtained model makes easier the use of advanced control...
The majority of processes met in the industrial practice have stochastic characteristics and eventually they embody nonlinear behaviour. Traditional controllers with fixed parameters are often unsuitable for such processes because their parameters change. The changes of process parameters are caused by changes in the manufacturing process, in the nature of the input materials, fuel, machinery use...
This work presents a hybrid flight control methodology for adaptive, or morphing, aircraft. Morphing aircraft lack discrete control surfaces and use distributed actuation of the wing surface for maneuvering. Linear Quadratic Regulator (LQR) control is used to determine the optimal aerodynamic forces required to track an arbitrary flight path. The command forces are fed into a fuzzy-logic controller...
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